Installing DeepSeek-R1 locally on a Windows PC and integrating it with Visual Studio Code (VS Code)
Siraj Khan
Full Stack Developer(JavaScript | TypeScript | Angular | NestJS | ReactJS | Next.js | React Native | NodeJS | PostgreSQL | MongoDB | Firebase | AWS)
Integrating advanced AI models into your development environment can significantly enhance productivity. This guide will walk you through installing DeepSeek-R1 locally on a Windows PC using Ollama and integrating it with Visual Studio Code (VS Code) via the Cline extension.
Prerequisites:
Step 1: Install Ollama
Step 2: Download the DeepSeek-R1 Model
Pull the Model:In Command Prompt, execute:
ollama pull deepseek-r1
This command downloads the DeepSeek-R1 model to your local machine.
Step 3: Run the DeepSeek-R1 Model
Start the Model:After the download completes, run:
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ollama run deepseek-r1
This initializes the DeepSeek-R1 model, allowing you to interact with it directly in the Command Prompt.
Step 4: Integrate with Visual Studio Code Using Cline
Install the Cline Extension:
Configure Cline to Use DeepSeek-R1 via Ollama:
Step 5: Test the Integration
Interact with DeepSeek-R1:
By following these steps, you've successfully set up DeepSeek-R1 locally on your Windows PC and integrated it with VS Code using the Cline extension. This configuration leverages the power of AI to enhance your coding experience, providing intelligent code suggestions and assistance directly within your development environment.